Lightlines
By nvidia

physical-ai-defect-image-generation

nvidia2k installs

Defect image datasets for industrial inspection.

What it does

Creates and labels industrial inspection image datasets by orchestrating rendering, augmentation, training, and inference workflows on OSMO.

When to use it

Use for defect image generation for PCBA, metal surfaces, or glass, including initial asset setup, finetuning, and inference on real images.

How to use it

Give it an inspection dataset request; it asks for storage and workflow choices, then runs workflows that publish results to OSMO-backed storage.

Uses

Good to know

  • cannot be undone: /workspace/paidf-anomalygen/checkpoints
  • edits its own instructions

Latest review

What you need · 4

Requires the OSMO CLI on PATH to inspect configuration and submit workflows.

Requires Hugging Face access with the relevant gated model licenses accepted so the token can read the workflow's repositories.


Access · 6

This skill

/workspace/paidf-anomalygen/checkpoints

Write

Replaces container checkpoint entries (irreversible)

OSMO

Execute

Starts image generation workflows

Write

Stores credentials and generated images